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Lemma 2.2 Let λ and μ be two different eigenvalues of problem (2.1 - 2.5 2.1 - 2.5
Lemma 2.2 Let λ1 and λ2 be two different eigenvalues of the problem (15 - 19 15 - 19
Let (lambda_{1}) and (lambda_{2}) be two different eigenvalues of problem (2 - 6).
Let λ and μ be two different eigenvalues of problem (2.1 - 2.5 2.1 - 2.5
Let (lambda_{1}) and (lambda_{2}) be two different eigenvalues of the problem (2.1 - 2.4 2.1 - 2.4
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In total, there are four different eigenvalues: 2, 0, 3/2, and 1/2 (Blangero et al. 2013), with multiplicity mM, mM, mD, and mD.
There are eight different types of eigenvalues, which combine to yield eleven distinct types of laminates with peculiar representations of the general solution.
Two different eigenvalue-based objectives are combined as the objective function for the optimization problem of tuning PSS parameters.
Three different eigenvalue and eigenvector problems are formulated and analyzed.
From Table 2, it is evident that there are three eigenvalues from the dataset that are bigger than the eigenvalues (95th percentile) from the random dataset.
In practical applications the smallest eigenvalue will typically not be zero but close to zero.
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be two different bands
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be two different points
be two different men
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be two different strategies
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be two different kinds
be two different wavelengths
be two different designs
be two different schmapples
be two different rappers
be two different people
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be two different motivations
be two different vectors
be two different paths
be two different styles
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